Instructions to use simonycl/bert-large-uncased-sst-2-16-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simonycl/bert-large-uncased-sst-2-16-13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="simonycl/bert-large-uncased-sst-2-16-13")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("simonycl/bert-large-uncased-sst-2-16-13") model = AutoModelForSequenceClassification.from_pretrained("simonycl/bert-large-uncased-sst-2-16-13", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f0747bcccacd17339e0af2a1d40b363b10b2832f3cb4ae69b3ecd97de2445e0
- Size of remote file:
- 1.34 GB
- SHA256:
- 6bddbb267c547868045c9cc3f8e3e4f694bfa796c4c23f3921c83a51af1ae3e2
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